生态学报2017，Vol.37Issue(16)：5305-5312,8.DOI:10.5846/stxb201605301037
基于用户兴趣点数据与Landsat遥感影像的城市热场空间格局研究
Quantifying the spatial pattern of urban thermal fields based on point of interest data and Landsat images
摘要
Abstract
Point of interest (POI) in digital maps can effectively reflect human activities in urban systems at micro spatial scales.We retrieved land surface temperature (LST) in the Nanjing metropolitan region from a Landsat 8 image,and examined LST in relation to POI density,as well as vegetation and water cover at three spatial scales,namely,2,5,and 10 km.The relative importance of human factors (represented by POI density) and ecological facilities (represented by vegetation and water cover) on the thermal field patterns was quantitatively distinguished using simultaneous autoregressive models and the variation partitioning technique.The results showed that POI density and LST exhibit significantly positive correlations (P ＜ 0.001) that are generally amplified with increasing observational scale.Vegetation and water cover played a significant role in reducing LST;however,this cooling effect from water cover was detected only at the 2-km scale.At all three studied scales,the results from variation partitioning showed that human factors shared a considerable proportion of explanatory power with ecological facilities (40％-70％),whereas the unique explanatory power of human factors and ecological facilities ranged between 1.6％ and 15％.POIs characterize urban functional nodes and can thereby serve as an effective indicator of the intensity of anthropogenic heat sources.Our results suggested that POI could be a useful data source for the study of urban thermal fields,which is complementary to remotely sensed information.关键词
城市热岛/地表温度/用户兴趣点/空间分析/方差分解Key words
urban heat island/land surface temperature/point of interest/spatial analysis/variation partitioning引用本文复制引用
韩善锐,韦胜,周文,张明娟,陶婷婷,邱廉,刘茂松,徐驰..基于用户兴趣点数据与Landsat遥感影像的城市热场空间格局研究[J].生态学报,2017,37(16):5305-5312,8.基金项目
国家自然科学基金项目(41271197,31200530) （41271197,31200530）
